symbol_is_pair() helper function introduced
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@ -19,7 +19,7 @@ from pandas import DataFrame
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from freqtrade import (DependencyException, InvalidOrderException,
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OperationalException, TemporaryError, constants)
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from freqtrade.data.converter import parse_ticker_dataframe
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from freqtrade.misc import deep_merge_dicts
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from freqtrade.misc import deep_merge_dicts, symbol_is_pair
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logger = logging.getLogger(__name__)
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@ -208,7 +208,7 @@ class Exchange(object):
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if quote_currency:
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markets = {k: v for k, v in markets.items() if v['quote'] == quote_currency}
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if pairs_only:
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markets = {k: v for k, v in markets.items() if '/' in v['symbol']}
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markets = {k: v for k, v in markets.items() if symbol_is_pair(v['symbol'])}
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if active_only:
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markets = {k: v for k, v in markets.items() if v['active']}
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return markets
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@ -137,3 +137,16 @@ def deep_merge_dicts(source, destination):
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def plural(num, singular: str, plural: str = None) -> str:
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return singular if (num == 1 or num == -1) else plural or singular + 's'
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def symbol_is_pair(symbol: str, base_currency: str = None, quote_currency: str = None):
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"""
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Check if the symbol is a pair, i.e. consists of the base currency and the quote currency
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separated by '/' character. If base_currency and/or quote_currency is passed, it also checks
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that the symbol contains appropriate base and/or quote currency part before and after
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the separating character correspondingly.
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"""
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symbol_parts = symbol.split('/')
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return (len(symbol_parts) == 2 and
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(symbol_parts[0] == base_currency if base_currency else len(symbol_parts[0]) > 0) and
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(symbol_parts[1] == quote_currency if quote_currency else len(symbol_parts[1]) > 0))
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